Submission¶
Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace
In [1]:
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px
init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
In [2]:
#load data
df = px.data.gapminder()
df.head()
Out[2]:
| country | continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Asia | 1952 | 28.801 | 8425333 | 779.445314 | AFG | 4 |
| 1 | Afghanistan | Asia | 1957 | 30.332 | 9240934 | 820.853030 | AFG | 4 |
| 2 | Afghanistan | Asia | 1962 | 31.997 | 10267083 | 853.100710 | AFG | 4 |
| 3 | Afghanistan | Asia | 1967 | 34.020 | 11537966 | 836.197138 | AFG | 4 |
| 4 | Afghanistan | Asia | 1972 | 36.088 | 13079460 | 739.981106 | AFG | 4 |
Question 1:¶
Recreate the barplot below that shows the population of different continents for the year 2007.
Hints:
- Extract the 2007 year data from the dataframe. You have to process the data accordingly
- use plotly bar
- Add different colors for different continents
- Sort the order of the continent for the visualisation. Use axis layout setting
- Add text to each bar that represents the population
In [3]:
# YOUR CODE HERE
df_2007 = df[df['year'] == 2007]
df_total_pop = df_2007.groupby('continent')['pop'].sum().reset_index()
fig = px.bar(
df_total_pop, y='continent', x='pop',
color = 'continent'
)
fig.show()
In [5]:
# YOUR CODE HERE
df_2007 = df[df['year'] == 2007]
df_total_pop = df_2007.groupby('continent')['pop'].sum().reset_index()
fig = px.bar(
df_total_pop, y='continent', x='pop',
color = 'continent'
)
fig.update_yaxes(categoryorder='total ascending')
fig.show()
Question 3:¶
Add text to each bar that represents the population
In [11]:
# YOUR CODE HERE
df_2007 = df[df['year'] == 2007]
df_total_pop = df_2007.groupby('continent')['pop'].sum().reset_index()
fig = px.bar(
df_total_pop, y='continent', x='pop',
text='pop', color = 'continent'
)
fig.update_yaxes(categoryorder='total ascending')
fig.update_traces(
textposition='outside',
texttemplate='%{text:,.2s}'
)
fig.show()
Question 4:¶
Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years
In [23]:
# YOUR CODE HERE
df_total_pop = df.groupby(['continent', 'year'])['pop'].sum().reset_index()
fig = px.bar(
df_total_pop,
y='continent',
x='pop',
color='continent',
animation_frame='year',
range_x=[0, 4000000000],
title="Population Growth of Continents Over Time"
)
fig.update_layout(
yaxis_title="Continent",
xaxis_title="Pop",
title="Population Growth of Continents",
showlegend=False
)
fig.update_yaxes(categoryorder='total ascending')
fig.layout.updatemenus[0].buttons[0].args[1]['frame']['duration'] = 500
fig.layout.updatemenus[0].buttons[0].args[1]['transition']['duration'] = 500
fig.show()
Question 5:¶
Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years
In [24]:
# YOUR CODE HERE
df_total_pop = df.groupby(['country', 'year'])['pop'].sum().reset_index()
fig = px.bar(
df_total_pop,
y='country',
x='pop',
color='country',
animation_frame='year',
range_x=[0, 1500000000],
title="Population Growth of Countries Over Time"
)
fig.update_layout(
yaxis_title="Country",
xaxis_title="Pop",
title="Population Growth of Countries",
showlegend=False
)
fig.update_yaxes(categoryorder='total ascending')
fig.show()
Question 6:¶
Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation
In [29]:
# YOUR CODE HERE
df_total_pop = df.groupby(['country', 'year'])['pop'].sum().reset_index()
fig = px.bar(
df_total_pop,
y='country',
x='pop',
color='country',
animation_frame='year',
range_x=[0, 1500000000],
title="Population Growth of Countries Over Time"
)
fig.update_layout(
yaxis_title="Country",
xaxis_title="Pop",
title="Population Growth of Countries",
showlegend=False,
height=1000
)
fig.update_yaxes(categoryorder='total ascending')
fig.show()
In [35]:
# YOUR CODE HERE
df_total_pop = df.groupby(['country', 'year'])['pop'].sum().reset_index()
top_countries = df_total_pop.groupby('country')['pop'].sum().nlargest(10).index
df_top_countries = df_total_pop[df_total_pop['country'].isin(top_countries)]
max_population = df_top_countries['pop'].max()
fig = px.bar(
df_top_countries,
y='country',
x='pop',
color='country',
animation_frame='year',
title="Population Growth of Top 10 Countries Over Time"
)
fig.update_layout(
xaxis=dict(range=[0, max_population * 1.1]),
yaxis_title="Country",
xaxis_title="Pop",
title="Population Growth of Countries",
showlegend=False,
height=400
)
fig.update_yaxes(categoryorder='total ascending')
fig.show()
In [ ]: